CUresult cuMemFree(CUdeviceptr dptr); 2Virtual Memory Management 2.1 特性 就常用显存管理API来说,由于编程人员只能获取到显存的虚拟地址,如果有动态调整显存大小的需求(比如GPU上vector扩容),用户必须显式地申请更大的一块显存,并从原始显存中复制数据到新显存,再释放原始显存,然后继续跟踪新分配的显存地址,这样...
虚拟GPU 内存资源。 语法 C++ 复制 typedef struct _DXGK_VIRTUALGPUMEMORYRESOURCE { HANDLE DriverAllocationHandle; DXGK_GPU_PHYSICAL_ADDRESS AllocationAddress; UINT64 AllocationSize; } DXGK_VIRTUALGPUMEMORYRESOURCE, *PDXGK_VIRTUALGPUMEMORYRESOURCE; 成员 DriverAllocationHandle 驱动程序分配句柄。 Allo...
Before Windows Display Driver Model (WDDM) 2.0, the device driver interface (DDI) was built such that GPU engines were expected to reference memory through segment physical addresses. As segments were shared across applications and over-committed, resources got relocated through their lifetime and th...
(if it doesn’t support it already) memory allocated with the CUDA Virtual Memory APIs, so if your application leverages CUDA-Aware OpenMPI, you may not need application changes to leverage that support, but it may require a certain version of CUDA-Aware OpenMPI (I’m not sure exactly what...
A respective vGPU request includes a GPU memory requirement. GPU configurations are determined in order to accommodate vGPU requests. The GPU configurations are determined based on an integer linear programming (ILP) vGPU request placement model. Configured vGPU profiles are applied for vGPU enabled ...
typedef struct _DXGKARG_SETVIRTUALGPURESOURCES { ULONG PartitionId; ULONG NumMemoryAllocations; DXGK_VIRTUALGPUMEMORYRESOURCE MemoryInfo[1]; } DXGKARG_SETVIRTUALGPURESOURCES, *PDXGKARG_SETVIRTUALGPURESOURCES; 成員 PartitionId 索引(從 0 到最大支援的 vGPU 減去 vGPU 磁碟分區的一) 。 ...
NVIDIA Virtual Computer Server (vCS) is software that enables the NVIDIA GPU to be virtualized to accelerate compute-intensive server workloads with features such as error-correcting code (ECC) memory, page retirement, peer-to-peer CUDA transfers over NVIDIA® NVLink®, and multiple vGPUs ...
Virtual memory stats Applications GPU API Events Atrace userspace annotations HiTrace categories Event Log Frame timeline Miscellaneous Device Frequencies Disc I/O Metrics Trace分析 SQL常用查询 基本信息 计算切片的CPU时间 通过被唤醒的线程计算调度时间 瓶颈分析 Frame Profiler使用指导...
在以上所有内容中,我们都在谈论像OpenCL规范中的细粒度系统SVM。因此,您可以malloc()内存并直接从GPU使用它。 希望这可以澄清事情。 Description Shared Virtual Memory (SVM) (Glossary): An address space exposed to both the host and the devices within a context. SVM causes addresses to be meaningful bet...
2.4 GPU Virtual Memory Management 由于对管理内存的应用程序的需求逐渐增加,以及对极低延迟和高效率的需求,CUDA 引入了低级别虚拟内存管理 (VMM) [11、12、29]。VMM 提供了原语操作(例如 reserve 和 map)以操作虚拟地址空间,它所提供的粒度比 cudaMalloc 等传统方法更精细。包括 cuMemCreate、cuMemAddressReserve...